Crowd computing
 | This article includes a list of general references, but it lacks sufficient corresponding inline citations. (August 2012) |
Crowd computing Is an overarching term which defines the myriad tools that enable idea sharing, non-hierarchical decision making and the full utilization of the world’s massive cognitive surplus”-the ability of the world’s population to collaborate on large, sometimes global projects. [1] Crowd computing brings together the strengths of crowdsourcing, automation and machine learning.
Prof. Rob Miller of MIT further defines crowd computing as “harnessing the power of people out in the web to do tasks that are hard for individual users or computers to do alone. Like cloud computing, crowd computing offers elastic, on-demand human resources that can drive new applications and new ways of thinking about technology.” [2]
Crowd computing offers a harmonious amalgamation of both cloud computing and crowdsourcing. It combines human intelligence (the crowd) with artificial intelligence (the cloud) in order to produce quality results at unprecedented speed. Scientists and historians are already utilizing this process to complete time-consuming research, and many businesses are beginning to realize its potential for cutting costs and increasing productivity. Crowd computing very well may be on its way to changing the way humans live and operate in our society by using artificial intelligence in combination with the human mind.[3]
An early example of crowd computing was the discovery of a gold deposit location at the Moribund Red Lake Mine in Northern Ontario. Using all available data, the company, Goldcorp, Inc. had been unable to identify the location of new deposits on their land. In desperation, the CEO put all relevant geological data on the web and created a contest, open to anyone in the world. An obscure firm in Australia used their software and algorithms to crack the puzzle. As a result, the company found an additional 8 million ounces of gold at the mine. The only cost was the nominal prize money awarded.
There is also an interpretation of crowd computing for mobile devices, in the context of mobile computing, called mobile crowd computing.[4][5]
References
- Brown, Eric J. and William A. Yarberry, Jr. (2009). The Effective CIO. Boca Raton: Taylor & Francis.
- Hurley Hall, Sharon. "Startup to Watch: Crowd Control". Podium Ventures. Retrieved 8 June 2012.
- Popper, Ben (17 April 2012). "Crowd computing taps artificial intelligence to revolutionize the power of our collective brains". Venture Beat. Retrieved 8 June 2012.
- Shirky, Clay. Cognitive Surplus: Creativity and Generosity in a Connected Age (2010) - ISBN 978-1-59420-253-7
- Surowiecki, J. (2005). The Wisdom of Crowds. New York: Random House, Inc.
- Cheminformatics Crowd Computing for Tuberculosis Drug Discovery (3C4TB) Project Page
More References
- ^ Shirky, Clay. TED Talk June 2010 http://www.ted.com/talks/clay_shirky_how_cognitive_surplus_will_change_the_world.html
- ^ Miller, Rob. Microsoft research talk, June 19, 2013; http://research.microsoft.com/apps/video/default.aspx?id=194501
- ^ Crowdcomputing.com; http://www.crowdcomputing.com/crowd-computing-where-humans-and-machines-work-together
- ^ Murray, Derek (2010). "The case for crowd computing". Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld'10): 39–44.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Fernando, Niroshinie (2012). "Honeybee: A Programming Framework for Mobile Crowd Computing" (PDF). Proceedings of the 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, (Mobiquitous 2012).
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